Patents by Inventor David R. H. Miller

David R. H. Miller has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9183312
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for displaying search results referencing resources of two different types. In an aspect, a search system receives a search query for a search of a first resources. The search system determines a second resource score for the search query. The second resource score is measure of relatedness of the query to the second resources and is independent of a search property ratio of the query. If the second resource score meets a threshold, then the search system conducts a full search of second resources in addition to the search of the first resources.
    Type: Grant
    Filed: March 12, 2013
    Date of Patent: November 10, 2015
    Assignee: Google Inc.
    Inventors: Grant Dasher, David R. H. Miller
  • Patent number: 7162468
    Abstract: Methods and systems consistent with the present invention provide an improved IR system that performs information retrieval by using probabilities. When performing information retrieval, the improved IR system utilizes both the prior probability that a document is relevant independent of the query as well as the probability that the query was generated by a particular document given that the particular document is relevant. By using these probabilities, the improved IR system retrieves documents in a more accurate manner than conventional systems which are based on an ad hoc approach.
    Type: Grant
    Filed: March 12, 2002
    Date of Patent: January 9, 2007
    Inventors: Richard M. Schwartz, David R. H. Miller, Timothy R. Leek
  • Publication number: 20020138478
    Abstract: Methods and systems consistent with the present invention provide an improved IR system that performs information retrieval by using probabilities. When performing information retrieval, the improved IR system utilizes both the prior probability that a document is relevant independent of the query as well as the probability that the query was generated by a particular document given that the particular document is relevant. By using these probabilities, the improved IR system retrieves documents in a more accurate manner than conventional systems which are based on an ad hoc approach.
    Type: Application
    Filed: March 12, 2002
    Publication date: September 26, 2002
    Applicant: Genuity Inc.
    Inventors: Richard M. Schwartz, David R.H. Miller, Timothy R. Leek
  • Patent number: 6405188
    Abstract: Methods and systems for providing an improved IR system that performs information retrieval by using probabilities. When performing information retrieval, the improved IR system utilizes both the prior probability that a document is relevant independent of the query as well as the probability that the query was generated by a particular document given that the particular document is relevant. By using these probabilities, the improved IR system retrieves documents in a more accurate manner than conventional systems which are based on an ad hoc approach.
    Type: Grant
    Filed: July 31, 1998
    Date of Patent: June 11, 2002
    Assignees: Genuity Inc., GTE Service Corporation
    Inventors: Richard M. Schwartz, David R. H. Miller, Timothy R. Leek
  • Patent number: 5865626
    Abstract: Apparatus and method for improving the speed an accuracy of recognition of speech dialects, or speech tansferred via dissimilar channels is described. The invention provides multiple models tailored to specific segments or dialects, and/or speech channels, of the population. However, there is not a proportional increase in recognition time or computing power or computing resources needed. Probability density functions for the acoustic descriptors are provided which are shared among the various models. Since there is a common pool of probability density functions which are mapped or pointed to for the different acoustic descriptors for each different dialect or speech channel model, the memory requirements for the speech recognition apparatus and method are significantly reduced. Each model is comprised of triphonemes which are modelled by discrete probability distribution functions forming hidden Markov models or statistical word models.
    Type: Grant
    Filed: August 30, 1996
    Date of Patent: February 2, 1999
    Assignee: GTE Internetworking Incorporated
    Inventors: Valerie L. Beattie, David R. H. Miller, Shawn Eric Edmondson, Yogen N. Patel, Geoffrey A. Talvola